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Last updated on 2022-06-26.

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Justin Gregoire

Data science professional with 6 years of experience empowering organizations with data and insights. My professional expertise covers multiple areas: defining metrics and extracting insights with imperfect data; analyzing A/B experiments and using inferential statistics to deduce product impact and opportunity; and building data pipelines to support business intelligence.

I’ve employed my skillset across multiple cross-functional teams within a variety of industries - including ed tech, online mobile gaming, B2B cloud products, and health care.

Professional Experience

Senior Data Scientist

Skillshare

New York, NY

2021

  • Embedded within product’s personalization and discovery pods to support experimentation intiatives. Design, analyze, and present findings/recommendations for changes to our recommendation algorithms, new onboarding features, and changes to Search and Browse.
  • Lead data scientist for key strategic initiative called “Marketplace” to explore additional monetization opportunities. Leveraged k-means clustering to identify unique teacher segemtns, and distributed learnings with cross-functional stakeholders from product, engineering, and marketing to incorporate into the strategic roadmap
  • Regularly conduct deep-dive analysis of consumer behavior and present findings to relevant stakeholders.

Data Scientist

Skillshare

New York, NY

2021 - 2020

  • Worked alongside VP of Growth to conduct a market assessment to inform long-term internationalization strategy. Developed a scoring methodolgy based on external market/demographic metrics, as well as internal site engagement metrics. Results were used to create a phased growth strategy that aligned with long term localization roadmap of the engineering team. Presented analysis and conclusions to CEO and executive team, followed by the broader company once approved.
  • Partnered with marketing to develop and implement an improved attribution methodology. Researched various heuristic methods (“first touch”, “last click”, “linear time-decay”, etc.) as well as algorithmic methods, including Markov Chains and Shapley values. Developed criterion for evaluating methods and selected optimal method.
  • Built an external facing algorithm projecting teachers’ upcoming monthly royalty payments.

Marketing Analytics Manager

Skillshare

New York, NY

2020 - 2019

  • Defined key performance metrics for growth marketing, which was implemented as the company framework for evaluating marketing performance
  • Built initial analytics pipelines and productionized data models tracking marketing performance. This involved scoping, selecting, and implementing a data integration tool (fivetran) to manage ingesting third party data, and leveraging DBT(data build tool) to create reporting ready tables for dashboards and analysis.

Digital Senior Analyst, Marketing Analytics @ Google

Accenture

San Francisco, CA

2019 - 2018

  • Defined key performance metrics for a key acquisition program. Subsequently designed and built the data warehouse and created dashboards to monitor marketing performance, sales operations, and financial metrics.
  • Regularly analyzed A/B tests as well as various ad-hoc analyses. Presenting findings and recommendations to account leadership.
  • Ultimately became the team lead for 4 data analysis. Served as the main point of contact with client stakeholders, and translated needs into concrete deliverables across the team.

Digital Analyst @ Zynga

Accenture

San Francisco, CA

2018 - 2016

  • As the sole Accenture consultant on the account, partnered directly with VP of User Acquisition to define key marketing health metrics and build out executive-level reporting across the game portfolio. This allowed marketing managers to optimize budget allocation in real time
  • Assisted in the development of user LTV models, and implemented into reporting. Communicated criterion used to select optimal model - including business use cases, accuracy requirements, and tradeoffs against other models.
  • In the quarter after project completions, acquisition returns increased from 70% to 115% with no observed change in general market trends, or other direct product releases or significant changes

Miscellaneous

Reforge Growth Series

Reforge

New York, NY

2020

  • Completed a professional education program focusing on product growth. The curriculum covered topics spanning retention & engagement, acquisition, monetization, and user psychology taught by instructors who are product leaders at category defining companies (Facebook, Instagram, Lyft, Dropbox, etc.).